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feishu-voice-elevenlabs飞书语音十一实验室

Agent Skill

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:feishu-voice-elevenlabs(飞书语音十一实验室)
来源仓库:https://github.com/dongdongbear/feishu-voice-elevenlabs
安装命令:
openclaw skills install feishu-voice-elevenlabs
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install feishu-voice-elevenlabs

简介

飞书语音十一实验室使用 ElevenLabs TTS 和 STT 发送接收语音消息。

  • 适用于需要高质量语音合成的场景。feishu-voice-elevenlabs 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装,需结合来源仓库和 README 确认具体用法。
  • 安装前建议确认权限范围和维护状态,注意是否触发联网或文件读写。
  • 涉及版权音乐时应核对授权和公开发布边界。

SKILL.md

name
feishu-voice
description
Send and receive voice messages on Feishu (Lark) using ElevenLabs TTS and STT. Activate when user asks to send a voice message on Feishu, or when receiving a Feishu audio message (media attachment with .ogg/.opus file) that needs transcription. Supports smart reply mode — auto voice-reply to voice messages, text-reply to text messages.

Feishu Voice (TTS + STT)

Send voice messages and transcribe received voice messages on Feishu using ElevenLabs.

Prerequisites

  • sag CLI (ElevenLabs TTS): npm i -g sag or go install
  • ffmpeg / ffprobe: brew install ffmpeg
  • ElevenLabs paid plan (required for library voices)
  • Feishu app with im:message:send_as_bot and im:file permissions

Environment Variables

VariableRequiredDescription
ELEVENLABS_API_KEYElevenLabs API key
FEISHU_APP_ID✅ (TTS)Feishu app ID
FEISHU_APP_SECRET✅ (TTS)Feishu app secret
ELEVENLABS_VOICE_ID✅ (TTS)Voice ID (browse at elevenlabs.io/voice-library)
ELEVENLABS_MODEL_ID✅ (TTS)Model ID (e.g. eleven_multilingual_v2, eleven_v3)
ELEVENLABS_SPEEDSpeech speed 0.5-2.0 (default: 1.0)

If FEISHU_APP_ID / FEISHU_APP_SECRET are not in env, extract from openclaw config:

export FEISHU_APP_ID=$(python3 -c "import json; print(json.load(open('$HOME/.openclaw/openclaw.json'))['channels']['feishu']['appId'])")
export FEISHU_APP_SECRET=$(python3 -c "import json; print(json.load(open('$HOME/.openclaw/openclaw.json'))['channels']['feishu']['appSecret'])")

Voice Selection

See config/voice-config.example.json for a curated voice list. Browse all voices at https://elevenlabs.io/voice-library or run sag voices.

Recommended models:

  • eleven_multilingual_v2 — best for Chinese and multilingual content
  • eleven_v3 — latest English-optimized model

Sending Voice Messages (TTS)

scripts/feishu-voice-send.sh <text> <receive_id> [receive_id_type] [speed]
  • receive_id: target user open_id or chat_id
  • receive_id_type: open_id (default) or chat_id
  • speed: speech speed multiplier, 0.5-2.0 (default: 1.0)

Receiving Voice Messages (STT)

When OpenClaw delivers a Feishu voice message, it arrives as a media attachment (.ogg file). Transcribe with:

scripts/feishu-voice-stt.sh /path/to/audio.ogg

Returns recognized text to stdout. Uses ElevenLabs scribe_v1 model with automatic language detection.

Fallback: Download via Feishu API

If the audio file is not delivered as an attachment (only file_key available):

  1. List recent messages: GET /im/v1/messages?container_id_type=chat&container_id=CHAT_ID&page_size=5&sort_type=ByCreateTimeDesc
  2. Download audio: GET /im/v1/messages/{message_id}/resources/{file_key}?type=file
  3. Run STT script on the downloaded file

Smart Reply Mode

When receiving messages, follow this pattern for natural conversation:

  • Voice message received → transcribe with STT → understand → reply with voice (TTS)
  • Text message received → understand → reply with text
  • Override: user can request voice/text reply explicitly

Important Notes

  • Feishu msg_type must be "audio" — not "media" or "file"
  • OpenClaw's message tool asVoice does not work correctly for Feishu — use this script instead
  • STT uses ElevenLabs scribe_v1 model, supports Chinese, English, and 90+ languages
  • For free ElevenLabs accounts, only premade voices work; library voices require a paid plan

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

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能力 3

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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96.87%
按下载量换算4,787

安全审计

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权限和风险

敏感数据

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安装前确认

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